{"title":"Roger Page","description":null,"products":[{"product_id":"eye-of-the-devil-book-roger-page-9781925590234","title":"Eye of the Devil","description":null,"brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49598887723281,"sku":"GOR013434648","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1925590232.jpg?v=1750932588"},{"product_id":"challenge-of-life-book-roger-page-9780994621245","title":"The Challenge of Life","description":"\u003cp\u003eAnalysing suicidal tweets using machine learning involves using algorithms and natural language processing techniques to analyze large amounts of text data from social media platforms, with the goal of identifying patterns and signs of suicidal behavior. The process typically involves text pre-processing, feature extraction, and the use of machine learning models such as sentiment analysis, text classification, and risk assessment. The output from these models can provide valuable information for suicide prevention and early intervention efforts by identifying individuals who may be at risk and providing them with the necessary resources and support. The use of machine learning in this field has the potential to revolutionize the way we approach suicide prevention, making it more effective and scalable, and potentially saving many lives.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eSuicidal behaviour is a severe public health issue that affects people all over the world. \u003c\/p\u003e\u003cp\u003eAppropriate risk assessment by mental health practitioners and timely support is critical to the \u003c\/p\u003e\u003cp\u003eefficacy of suicide prevention. However, most people don't receive any treatment due to the \u003c\/p\u003e\u003cp\u003elimited available mental health professionals, the lack of understanding of mental health, and the \u003c\/p\u003e\u003cp\u003estigma associated with mental illness. Considering the above facts, it becomes crucial to \u003c\/p\u003e\u003cp\u003eidentify the suicidal risk\/ideation through observation than to rely only on the self-report. \u003c\/p\u003e\u003cp\u003e Moreover, traditional methods like psychological battery tests and clinical judgement \u003c\/p\u003e\u003cp\u003e can't provide the assessment of suicidal risk in real-time, thus delaying the reporting of \u003c\/p\u003e\u003cp\u003eat- risk individuals. Suicidal thoughts are increasingly expressed on online platforms. \u003c\/p\u003e\u003cp\u003eIf these suicidal posts are recognised early through the intelligent mechanism, \u003c\/p\u003e\u003cp\u003emany lives could be saved. This thesis inspects and examines the feasibility of automatically \u003c\/p\u003e\u003cp\u003edetecting suicidal content from non-suicidal content on social media and differentiating the \u003c\/p\u003e\u003cp\u003econtent based upon the severity of the message using natural language processing and a\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003emachine learning approach.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51290395050257,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51290396983569,"sku":"NIN9780994621245","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0994621248.jpg?v=1751365507"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-roger-page.oembed","provider":"World of Books ","version":"1.0","type":"link"}